His primary scientific interests are in Mathematical optimization, Simulation, Algorithm, Genetic algorithm and Search algorithm. The concepts of his Mathematical optimization study are interwoven with issues in Fuzzy set operations and Fuzzy transportation. His Simulation study combines topics in areas such as Iterative method and Job shop scheduling.
His biological study focuses on Tabu search. His Branch and bound research also works with subjects such as
Lixing Yang mainly investigates Mathematical optimization, Control theory, Integer programming, Simulation and Schedule. As a member of one scientific family, Lixing Yang mostly works in the field of Mathematical optimization, focusing on Path and, on occasion, Hybrid algorithm. His Control theory study combines topics from a wide range of disciplines, such as Control engineering, Model predictive control and Headway.
His research investigates the connection between Headway and topics such as Urban rail transit that intersect with issues in Dynamic programming. As part of one scientific family, Lixing Yang deals mainly with the area of Integer programming, narrowing it down to issues related to the Stochastic optimization, and often Stochastic programming. Lixing Yang has included themes like Maintenance planning, Automotive engineering and Minification in his Scheduling study.
Mathematical optimization, Integer programming, Lagrangian relaxation, Control theory and Headway are his primary areas of study. In his study, Travel time is inextricably linked to Robustness, which falls within the broad field of Mathematical optimization. His Integer programming study deals with Stochastic optimization intersecting with Urban rail transit.
His Control theory research is multidisciplinary, incorporating elements of Perimeter control and Model predictive control. His work is dedicated to discovering how Model predictive control, Linearization are connected with Stability and other disciplines. The various areas that he examines in his Scheduling study include Maintenance plan, Maintenance planning, Task and Dynamic priority scheduling.
Lixing Yang focuses on Mathematical optimization, Integer programming, Lagrangian relaxation, Headway and Nonlinear mixed integer programming. His work on Scheduling as part of general Mathematical optimization research is often related to Joint, thus linking different fields of science. His biological study spans a wide range of topics, including Robust optimization and Travel time.
His research in Lagrangian relaxation intersects with topics in Urban rail transit, Lagrange multiplier and Linear programming. His Headway study integrates concerns from other disciplines, such as Message passing, Model predictive control and Control theory, Optimal control, Electronic speed control.
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Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach
Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao.
Transportation Research Part B-methodological (2016)
Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches
Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao.
Transportation Research Part B-methodological (2017)
Fuzzy fixed charge solid transportation problem and algorithm
Lixing Yang;Linzhong Liu.
soft computing (2007)
Optimizing trains movement on a railway network
Lixing Yang;Keping Li;Ziyou Gao;Xiang Li.
Omega-international Journal of Management Science (2012)
Logistics distribution centers location problem and algorithm under fuzzy environment
Lixing Yang;Xiaoyu Ji;Ziyou Gao;Keping Li.
Journal of Computational and Applied Mathematics (2007)
Research and development of automatic train operation for railway transportation systems: A survey
Jiateng Yin;Tao Tang;Lixing Yang;Jing Xun.
Transportation Research Part C-emerging Technologies (2017)
Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand
Lixing Yang;Keping Li;Ziyou Gao.
IEEE Transactions on Fuzzy Systems (2009)
Collaborative optimization for train scheduling and train stop planning on high-speed railways
Lixing Yang;Jianguo Qi;Shukai Li;Yuan Gao.
Omega-international Journal of Management Science (2016)
Rescheduling a metro line in an over-crowded situation after disruptions
Yuan Gao;Leo Kroon;Marie Schmidt;Lixing Yang.
Service-oriented train timetabling with collaborative passenger flow control on an oversaturated metro line: An integer linear optimization approach
Jungang Shi;Lixing Yang;Jing Yang;Ziyou Gao.
Transportation Research Part B-methodological (2018)
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